136 search results - page 10 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
ALT
2003
Springer
15 years 6 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
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GECCO
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
EMNLP
2008
14 years 11 months ago
2008
We describe the first tractable Gibbs sampling procedure for estimating phrase pair frequencies under a probabilistic model of phrase alignment. We propose and evaluate two nonpar...